AlphaGo Zero Explained In One Diagram
Download the AlphaGo Zero cheat sheet
Get the full cheat sheet here
Check out the related article here:
Recently Google DeepMind announced AlphaGo Zero — an extraordinary achievement that has shown how it is possible to train an agent to a superhuman level in the highly complex and challenging domain of Go, ‘tabula rasa’ — that is, from a blank slate, with no human expert play used as training data.
It thrashed the previous reincarnation 100–0, using only 4TPUs instead of 48TPUs and a single neural network instead of two.
Want to quickly learn how it works? Look no further…
The AlphaGo Zero cheat sheet
The paper that the cheat sheet is based on was published in Nature and is available here. I highly recommend you read it, as it explains in detail how deep learning and Monte Carlo Tree Search are combined to produce a powerful reinforcement learning algorithm.
Hopefully you find the AlphaGo Zero cheat sheet useful — let me know if you find any typos or have questions about anything in the document.
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